music-classification

Official PyTorch implementation of Contrastive Learning of Musical Representations

Music genre classification model using CRNN

A TensorFlow+Keras implementation of "Sample-level CNN Architectures for Music Auto-tagging Using Raw Waveforms"

A deep learning project for automated chorus detection in songs, featuring a command-line interface (CLI) tool that allows users to input a YouTube link and utilize a pre-trained CRNN model to detect chorus sections from a song on YouTube

Genre Classification using Convolutional Neural Networks

Tracking states of the arts and recent results (bibliography) on sound tasks.

A Fine-Grained House Music Dataset

Lyra - A Dataset for Greek Traditional and Folk Music

Musical genre recognition using a CNN

PyTorch implementation of cross-cultural music transfer learning

Docker container to retrieve musical information from audio data using Essentia extractors

Audio classifier, encoder, and search engine in Java

Build neural network models for musical genre classification using pytorch

🎵 AI music tagger using MusicCocoa embeddings. 163 tags across genre, mood, vocals, texture. works on CPU

ISMIR 2023 Papers: This is a fork for pull requests to the original repository at https://github.com/yamathcy/ISMIR-2023-Papers.

Using machine learning for the study of music.

Music classification, music search, music recommender and music encoder implemented in Tensorflow and Java

A convolutional neural network trained to classify emotions in singing voices.

CNN, RNN and CRNN classification music by genre, with pre-processing into mel-spectrograms as pictures